Effectiveness of electrotherapy for the treatment of orofacial pain: A systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: Summarize the evidence from randomized controlled trials and controlled trials that examined the effectiveness of electrotherapy in the treatment of patients with orofacial pain. DATA SOURCE: Medline, Embase, CINAHL PLUS with Full text, Cochrane Library Trials, Web of Science, and Scopus. REVIEW METHODS: A data search (last update, July 1, 2022) and a manual search were performed (October 5, 2022). Trials involving adults with orofacial pain receiving electrotherapy compared with any other type of treatment were included. The main outcome was pain intensity; secondary outcomes were mouth opening and tenderness. The reporting was based on the new PRISMA Guidelines. RESULTS: From the electronics databases and manual search 43 studies were included. Although this study was open to including any type of orofacial pain, only studies that investigated temporomandibular disorders were found. The overall quality of the evidence for pain intensity was very low. Although the results should be carefully used, transcutaneous electric nerve stimulation therapy showed to be clinically superior to placebo for reducing pain after treatment (2.63 [-0.48; 5.74]) and at follow-up (0.96 [-0.02; 1.95]) and reduce tenderness after treatment (1.99 [-0.33; 4.32]) and at follow-up (2.43 [-0.24; 5.10]) in subjects with mixed temporomandibular disorders. CONCLUSION: The results of this systematic review support the use of transcutaneous electric nerve stimulation therapy for patients with mixed temporomandibular disorders to improve pain intensity, and tenderness demonstrating that transcutaneous electric nerve stimulation is superior to placebo. There is inconsistent evidence supporting the superiority of transcutaneous electric nerve stimulation against other therapies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.024 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.006 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".